Good Answer vs. Good-Looking Answer

Use this when an AI answer sounds polished and you need to decide whether it is actually good. Where real quality shows up Fits the exact task, audience, and constraints. Supports load-bearing claims with sources, data, tests, or accountable review. Names assumptions, uncertainty, and conditions that would change the answer. Gives a safe next step without overpromising. Where polish can mislead Confident wording without evidence. Neat formatting that hides missing context. Universal claims such as always, never, all, or guaranteed. A clean story that ignores alternate explanations. This looks great. Can we just use it? It may be useful. Let's…

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